Pinned Repositories
Active-Client-Selection-for-Communication-efficient-Federated-Learning
Active Client Selection for Federated Learning
android-multi-module-demo
android安卓模块化开发最佳实践demo
ASE
Advanced Software Engineering course materials
Async-HFL
[IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks
Awesome-Deep-Graph-Clustering
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
Awesome-Federated-Learning-on-Graph-and-Tabular-Data
Federated learning on graph and tabular data related papers, frameworks, and datasets.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
divfl
Diverse Client Selection for Federated Learning via Submodular Maximization
fednp
osgearth
A free open source C++ terrain rendering toolkit.
RealRui's Repositories
RealRui/DisCGS
RealRui/F2GNN
RealRui/F2L
RealRui/FCAC
RealRui/fed_cvae
Code for novel methods for one-shot Federated Learning under high statistical heterogeneity.
RealRui/fed_het
RealRui/fedalv
RealRui/Federated-Hyper-Knowledge-Distillation
RealRui/FederatedScope
An easy-to-use federated learning platform
RealRui/FedFed
[NeurIPS'23] FedFed: Feature Distillation against Data Heterogeneity in Federated Learning
RealRui/FedFormer
FedFormer: Contextual Federation with Attention in Reinforcement Learning (AAMAS 2023)
RealRui/FEDORA
[FL-ICML 2023] Code for Federated Ensemble-Directed Offline Reinforcement Learning
RealRui/FedOV
Towards Addressing Label Skews in One-Shot Federated Learning (ICLR 2023)
RealRui/FedPAC
Simplified Implementation of FedPAC
RealRui/FedPepTAO
RealRui/FLASH-RL
FLASH-RL (Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning) is a novel and effective strategy for client selection in Federated Learning using Reinforcement Learning to address heterogeneity problems.
RealRui/Fling
RealRui/FoodSAM
FoodSAM: Any Food Segmentation
RealRui/ICCV-2023-FedETF
The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier".
RealRui/MarsFL
Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark
RealRui/MaT-FL
[CVPRW 2023] "Many-Task Federated Learning: A New Problem Setting and A Simple Baseline" by Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth Srinivasa, Myungjin Lee, Ramana Kompella, Zhangyang Wang
RealRui/medperf
An open benchmarking platform for medical artificial intelligence using Federated Evaluation.
RealRui/MobileSAM
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
RealRui/mufc
A federated clustering approach with the corresponding unlearning mechanism (ICLR 2023)
RealRui/Multi-Drone-Multi-Object-Detection-and-Tracking
RealRui/MultigraphFL
Reducing Training Time in Cross-Silo Federated Learning using Multigraph Topology (ICCV 23)
RealRui/NeighborFL
RealRui/PersonalizedFL
Personalized federated learning codebase for research
RealRui/ProG
All in One: Multi-task Prompting for Graph Neural Networks, KDD 2023.
RealRui/WirelessFL-PDG